code: def test_mad_right_tail_capping_with_fold_1(df_normal_dist):
      # test case 4: MAD, right tail, fold 1
      transformer = OutlierTrimmer(
          capping_method="mad", tail="right", fold=1
      )
      X = transformer.fit_transform(df_normal_dist)
  
      df_transf = df_normal_dist.copy()
      inliers = df_transf["var"].le(0.10995521088494983)
      df_transf = df_transf.loc[inliers]
  
      pd.testing.assert_frame_equal(X, df_transf)
      assert len(X) == 83
  
file_path: feature_engine/tests/test_outliers/test_outlier_trimmer.py
imports: import pandas
  import pytest
  from feature_engine.outliers import OutlierTrimmer
label_desc: Use image node_id 4 for calling a global function with example usage: test_mad_right_tail_capping_with_fold_1(df_normal_dist) without return types